Analytics based cloud brokering of data protection operations system and method

ABSTRACT

A system includes a memory and at least one processor to monitor for a condition associated with a first cloud computing resource performing a cloud computing operation, determine that the condition associated with the first cloud computing resource has occurred, analyze the condition associated with the first cloud computing resource and compare the first cloud computing resource with a second cloud computing resource that is capable of performing at least a subset of the cloud computing operation, automatically modify the cloud computing operation that uses the first cloud computing resource to use the second cloud computing resource, and send at least one notification to a computing device about the condition associated with the first cloud computing resource and information associated with a modification of the cloud computing operation from the first cloud computing resource to the second cloud computing resource.

BACKGROUND

Protection of data in a modern computing network is an amazingly complexand costly endeavor. Massive data growth limits the abilities ofhardware and software technologies and also puzzles well-trained dataprofessionals.

As enterprises continue to expand the usage of cloud services to runsoftware applications and information technology (IT) infrastructure,many challenges associated with cloud computing are emerging. Cloudservices are often naively considered to be nearly always available andfully resilient. However, this is incorrect. Many cloud services haveavailability that is worse than traditional, on-premise computinginfrastructure. In addition, cloud service interruptions appear tobecoming more common. Some cloud resource providers (e.g., providers ofinfrastructure, platform, or software services in the cloud) have beenknown to cut off or restrict services intentionally to usersunexpectedly based on changes in user workloads or internal cloudresource provider issues (e.g., cloud service maintenance). In otherexamples, cloud resource providers may limit input/output operations persecond (IOPS) for certain users and may modify cloud resource limitsindiscriminately. As a result, users of cloud services may experienceunexpected disruptions of cloud services.

Performance of cloud computing deployments also continues to suffer. Forexample, there are a number of significant challenges in leveragingcloud services for high data bandwidth applications such as backup anddisaster recovery and other data protection operations. Further,contrary to common perception, financial costs of cloud computingservices are unpredictable and can be exorbitant. The costs may be basedon cloud computing resources that are not properly decommissioned afteruse, internal cloud networking costs, costs for accessing or moving datastored using cloud computing resources, and unmonitored usage of cloudservices, among others. Even further, the financial costs of variouscloud services may change often and unpredictably. As a result, acost-effective cloud computing implementation may suddenly become overlycostly. Given these issues and other challenges, managing cloudresources effectively and efficiently proves to be a daunting task.

Cloud computing providers offer little to no assistance with thesechallenges because often the correct solution may be to move at leastsome operations and/or data to another cloud computing provider orswitching back to using on-premise computing solutions at a physicallocation. In addition, another solution may include a combination ofcompeting cloud computing providers and/or on-premise computingsolutions. Effectively managing and coordinating computingimplementations, data storage, data protection, disaster recovery, andother computing operations across a multi-cloud, multi-domainenvironment is a difficult task for businesses and enterprises. It iseven more challenging to optimize a solution to select a best and mostcost-effective use of available on-premise computing devices and cloudcomputing resources.

It is with these issues in mind, among others, that various aspects ofthe disclosure were conceived.

SUMMARY

According to one aspect, an analytics-based cloud brokering system andmethod is provided for data protection operations and other computingoperations. As an example, the system may include at least one servercomputing device that determines that an issue or condition has occurredwith a cloud computing resource that may be performing at least onecloud computing operation. The at least one server computing device mayanalyze the condition and determine that another cloud computingresource is able to better perform the at least one cloud computingoperation and move the at least one cloud computing operation to theother cloud computing resource. The at least one server computing devicealso may perform remediation of the at least one cloud computingoperation to ensure that data is protected and backed up.

A system may include a memory and at least one processor to monitor fora condition associated with a first cloud computing resource performinga cloud computing operation, determine that the condition associatedwith the first cloud computing resource has occurred, analyze thecondition associated with the first cloud computing resource and comparethe first cloud computing resource with a second cloud computingresource that is capable of performing at least a subset of the cloudcomputing operation, automatically modify the cloud computing operationthat uses the first cloud computing resource to use the second cloudcomputing resource, and send at least one notification to a computingdevice about the condition associated with the first cloud computingresource and information associated with a modification of the cloudcomputing operation from the first cloud computing resource to thesecond cloud computing resource.

According to another aspect, a method includes monitoring, by at leastone processor, for a condition associated with a first cloud computingresource performing a cloud computing operation, determining, by the atleast one processor, that the condition associated with the first cloudcomputing resource has occurred, analyzing, by the at least oneprocessor, the condition associated with the first cloud computingresource and comparing the first cloud computing resource with a secondcloud computing resource that is capable of performing at least a subsetof the cloud computing operation, automatically modifying, by the atleast one processor, the cloud computing operation that uses the firstcloud computing resource to use the second cloud computing resource, andsending, by the at least one processor, at least one notification to acomputing device about the condition associated with the first cloudcomputing resource and information associated with a modification of thecloud computing operation from the first cloud computing resource to thesecond cloud computing resource.

According to an additional aspect, a non-transitory computer-readablestorage medium includes instructions stored thereon that, when executedby a computing device cause the computing device to perform operations,the operations including monitoring for a condition associated with afirst cloud computing resource performing a cloud computing operation,determining that the condition associated with the first cloud computingresource has occurred, analyzing the condition associated with the firstcloud computing resource and comparing the first cloud computingresource with a second cloud computing resource that is capable ofperforming at least a subset of the cloud computing operation,automatically modifying the cloud computing operation that uses thefirst cloud computing resource to use the second cloud computingresource, and sending at least one notification to a computing deviceabout the condition associated with the first cloud computing resourceand information associated with a modification of the cloud computingoperation from the first cloud computing resource to the second cloudcomputing resource.

These and other aspects, features, and benefits of the presentdisclosure will become apparent from the following detailed writtendescription of the preferred embodiments and aspects taken inconjunction with the following drawings, although variations andmodifications thereto may be effected without departing from the spiritand scope of the novel concepts of the disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings illustrate embodiments and/or aspects of thedisclosure and, together with the written description, serve to explainthe principles of the disclosure. Wherever possible, the same referencenumbers are used throughout the drawings to refer to the same or likeelements of an embodiment, and wherein:

FIG. 1 is a block diagram of an analytics-based cloud brokering systemaccording to an example embodiment.

FIG. 2 illustrates a block diagram of a server computing device of thesystem according to an example embodiment.

FIG. 3 illustrates a block diagram of another server computing device ofthe system according to an example embodiment.

FIG. 4 illustrates a flowchart of a process for monitoring for acondition associated with a cloud computing resource according to anexample embodiment.

FIG. 5 illustrates another flowchart of a process for monitoring for acondition associated with a cloud computing resource according to anexample embodiment.

FIG. 6 illustrates another flowchart of a process for monitoring for acondition associated with a cloud computing resource according to anexample embodiment.

FIG. 7 illustrates another flowchart of a process for monitoring for acondition associated with a cloud computing resource according to anexample embodiment.

FIG. 8 illustrates a block diagram of an example computer device for usewith the example embodiments.

DETAILED DESCRIPTION

For the purpose of promoting an understanding of the principles of thepresent disclosure, reference will now be made to the embodimentsillustrated in the drawings and specific language will be used todescribe the same. It will, nevertheless, be understood that nolimitation of the scope of the disclosure is thereby intended; anyalterations and further modifications of the described or illustratedembodiments, and any further applications of the principles of thedisclosure as illustrated therein are contemplated as would normallyoccur to one skilled in the art to which the disclosure relates.

The client computing devices and the server computing devices maycommunicate over a communications network using Hypertext TransferProtocol (HTTP) and/or other communications protocols. HTTP provides arequest-response protocol in the client-server computing model. A clientapplication running on the client computing device may be a client and aserver application running on the server computing device may be theserver, e.g., a web server. The client submits, for example, an HTTPrequest to the server. The web server of the server computing deviceprovides resources, such as Hypertext Markup Language (HTML) filesand/or other content, and performs other functions on behalf of theclient, and returns an HTTP response message to the client. Other typesof communications using different protocols may be used in otherexamples.

The one or more computing devices may communicate based onrepresentational state transfer (REST) and/or Simple Object AccessProtocol (SOAP). As an example, a first computer (e.g., a clientcomputer) may send a request message that is a REST and/or a SOAPrequest formatted using Javascript Object Notation (JSON) and/orExtensible Markup Language (XML). In response to the request message, asecond computer (e.g., a server computer) may transmit a REST and/orSOAP response formatted using JSON and/or XML.

Aspects of a system and method include automatically modifying,optimizing, and/or re-architecting cloud solutions across multi-cloudenvironments and hybrid cloud environments (e.g., an environment thatincludes one or more on-premise data centers or servers) in response toa variety of conditions or changes in the data protection or cloudenvironments. A new level of cloud service availability and performanceawareness and remediation may be provided. In addition, the techniquesdiscussed herein provide for brokering of cloud services to provideoptimal data protection, disaster recovery, and other informationtechnology (IT) operations and services across diverse domains oftechnology, including, but not limited to, on-premise and multi-cloudinfrastructures.

In one example, the system may monitor for a condition associated with afirst cloud computing resource performing a cloud computing operation,determine that the condition associated with the first cloud computingresource has occurred, analyze the condition associated with the firstcloud computing resource and compare the first cloud computing resourcewith a second cloud computing resource that is capable of performing atleast a subset of the cloud computing operation, automatically modifythe cloud computing operation that uses the first cloud computingresource to use the second cloud computing resource, and send at leastone notification to a computing device about the condition associatedwith the first cloud computing resource and information associated witha modification of the cloud computing operation from the first cloudcomputing resource to the second cloud computing resource.

There are limited techniques and solutions available to manage andbroker data protection services and computing services and operationsacross cloud computing providers and environments. Cloud resourceproviders (e.g., providers of infrastructure, platform, or softwareservices in the cloud) are best equipped to provide solutions to assistusers and customers with effectively managing cloud computing solutionsfor applications such as data protection. However, cloud resourceproviders have minimal interest in solving these problems because thebest solution for a given situation may include use of another cloudresource provider, or even no cloud resource provider. Conventional andexisting techniques do not provide the ability to adjust or changecloud-based computing implementations in response to failures or changesin cloud computing environments (e.g., loss of cloud services, change infinancial costs of cloud services, continued operational failures in acurrent cloud-based implementation, change in security alert levels). Asdiscussed herein, a cloud computing resource or cloud resource may beany number of cloud services available from cloud resource providers.Cloud services include infrastructure services such as compute, network,or storage resources. Cloud services also may include platform servicessuch as operating system software. Cloud services also may includesoftware services such as business applications in the cloud. Cloudservices may further include data ingress or data egress services forcopying or moving data in, out, or across different cloud services andcloud resource providers. Cloud services may further include variousother cloud services such as recovery in the cloud and backup of cloudworkloads, among others.

A cloud computing resource implementation or cloud resourceimplementation may be a configuration of one or more on-premise or cloudcomputing resources including at least one cloud computing resource thatmay be used together to instantiate a particular application or process.As an example, a cloud data protection application may employ a cloudresource implementation that may utilize on-premise physical or virtualcomputing resources that may be configured together with a cloudresource to store data such as storage resources. As another example, acloud data protection application may employ a cloud resourceimplementation that may execute on a compute cloud resource in one cloudcomputing region and that backs up data to a storage cloud resource inanother cloud region or that backs up the data to a storage cloudresource provided by another cloud resource provider.

As another example, a cloud computing operation may be an operation thatutilizes at least one cloud computing resource. For example, anapplication or process that leverages a compute cloud resource or othercloud computing resource may be considered to be a cloud computingoperation. In addition, the execution of an individual computing taskthat uses at least one cloud resource may also be considered to be acloud computing operation. Examples of a cloud computing task mayinclude running a backup job using a cloud computing resource,performing a data replication task across a plurality of differing cloudcomputing resources, and backing-up on-premise data to a storage cloudresource.

As an example, a cloud resource authentication request may be a requestby a user, a cloud computing operation, a cloud computing resource, oranother entity to access or use at least one cloud resource. Operationalmetadata for computing operations that utilize cloud computing resourcesmay include operation type, data transfer amounts, data service levels,data owner information, data security information, data retention time,data custody requirements such as data locality rules, and other datapolicy information or other metrics associated with the computingoperation.

Operational behavior for computing operations that utilize cloudresources may include operation execution times, operation data transferrates achieved, operation failure and success rates, cloud computingcosts associated with computing operations, and other results of cloudcomputing operations.

Operational metadata and operational behavior information may becollected from multiple levels of the system and multiple sourcesincluding from computing systems, computing data policies, cloudpolicies, observation of computing operations both into and out of cloudnetworks, public facing cloud application programming interfaces (APIs),non-public cloud-integrated APIs, observed behaviors such as impactedperformance, and other sources.

As discussed herein, a condition may be a change in at least one ofusage of at least one cloud computing resource, availability of at leastone cloud computing resource, performance of at least one cloudcomputing resource, capacity of at least one cloud computing resource,health of at least one cloud computing resource, financial costs of atleast one cloud computing resource, a cloud service contract associatedwith at least one cloud computing resource, change in a security alertlevel of at least one cloud computing resource, and environmentalmetrics associated with at least one cloud computing resource.

Additionally, operational metadata and operational behavior of at leastone cloud computing operation (e.g., a cloud data protection operation)that utilizes at least one cloud computing resource may be continuallymonitored for an operational condition that may trigger a modificationto another cloud computing operation. The modification may includetransitioning the at least one cloud computing operation from a firstcloud computing provider or resource to a second cloud computingprovider or resource. This may be a transition from an on-premise to anoff-premise cloud computing resource or may be a transition from anoff-premise cloud computing resource to an on-premise cloud computingresource.

Conditions may also include operational conditions. An operationalcondition may be a change in at least one of operational metadata andoperational behavior of at least one cloud computing operation (e.g., acloud data protection operation) that utilizes at least one cloudcomputing resource. In one example, an operational condition may occurwhen a change in a data service level requests a higher performanceservice level for particular data associated with a cloud computingoperation. When this operational condition is detected, the ADPanalytics server computing device 104 may analyze a new higherperformance level requested for the data involved in the cloud computingoperation, assess currently available cloud computing resources from atleast one cloud computing service provider (including private on-premisecloud computing resources), determine an available cloud computingresource that best matches the higher performance service level, andmodify a cloud computing resource implementation to utilize the bestmatched cloud computing resource for the cloud computing operation.

An operational condition may occur when a change in a data custodylocality rule requests that particular data remain within particulargovernmental or geographical boundaries. When the operational conditionis detected, the ADP analytics server computing device 104 may analyzethe data custody locality rule, identify a best available cloudcomputing resource that is within the governmental or geographicboundaries as requested, and modify a cloud computing resourceimplementation to utilize the best available cloud computing resourcefor the cloud computing operation.

In another example, operational behavior for a computing operation thatutilizes a cloud computing resource may be continually monitored. As anexample, the operational behavior may include operation execution times,operation data transfer rates, operation failure rates, operationsuccess rates, and cloud computing financial costs. An operationalcondition may occur when operation execution times are unacceptable andtoo lengthy, operation data transfer rates are below a particularthreshold, a number of operation failures are above a threshold, orcloud computing financial costs are above a particular threshold. Whenthe operational condition is determined, the system may analyze at leastone available cloud computing resource from at least one cloud computingservice provider including private on-premise cloud computing resourcesto determine a cloud computing resource that may best address theoperational behavior issue. This may provide a shorter operationexecution time, a faster operation data transfer rate, a lower number ofoperation failures, or a lower cloud computing financial cost, amongother solutions. The system may modify a cloud computing resourceimplementation to utilize the selected cloud computing resource toaddress the operational behavior issue.

FIG. 1 shows a block diagram of a computing system that includes ananalytics-based cloud brokering system 100 according to an exampleembodiment. The analytics based cloud brokering system 100 includes atleast one client computing device 102 that is in communication with atleast one Adaptive Data Protection (ADP) analytics engine servercomputing device 104 (hereinafter ADP analytics server computing device)and at least one ADP accelerator server computing device 106 via acommunications network 108.

According to an exemplary embodiment, the analytics-based cloudbrokering system 100 may include one logical instance of the ADPanalytics server computing device 104, a plurality of client computingdevices 102, and a plurality of ADP accelerator server computing devices106, among other computing devices. Each entity, company, organization,corporation, etc. may have its own particular ADP accelerator servercomputing device 106 that communicates with the ADP analytics servercomputing device 104. Each ADP accelerator server computing device 106may be implemented based on particular workloads, a computingarchitecture, a network architecture, and a cloud computing networkdeployment for that particular entity.

In one embodiment, the ADP analytics server computing device 104 mayinclude a plurality of hardware and software modules that may performvarious functions. The ADP analytics server computing device 104 mayreceive metadata exhaust from each ADP accelerator server computingdevice 106 of the system 100 and may push information and messages tothe ADP accelerator server computing device 106 such as softwareupgrades, configuration instructions, policies, operational commands,security controls, etc. In addition, the ADP analytics server computingdevice 104 may store and process information associated with analyticalintelligence, automation, and best practice capabilities within itsmodules that may optimize ADP accelerator operations.

The ADP analytics server computing device 104 may include a dataprotection abstraction layer (DPAL) that may interact with ADP dataacquisition tools (DATs) and may handle data protection, cloudcomputing, storage, and network products and services, enabling themanagement of data protection, cloud computing, storage, and networkproducts and services in a consistent manner in the system 100. The ADPanalytics server computing device 104 may provide an ADP commander userinterface and an ADP RESTful application programming interface (API). Inan example embodiment, the ADP analytics server computing device 104 mayprovide capabilities and services that may be delivered as a servicefrom at least one global cloud computing provider.

The ADP accelerator server computing device 106 may include computeresources (e.g., hardware servers, virtual servers (e.g., VMware virtualmachines), and various cloud compute resources (e.g., virtual, baremetal, or hosted systems)). A bare metal virtualization may includerunning a virtual operating system using a hypervisor. A hosted systemmay run a virtual operating system using virtual hardware on a hostoperating system, which uses physical hardware. The compute resourcesmay include memory (e.g., RAM and/or ROM), network interfaces,management interfaces, storage area network (SAN) interfaces, and otherresources.

The ADP accelerator server computing device 106 may include an ADPoperating system (ADP OS) that provides management, monitoring,reporting, alerting, control, integration, orchestration, ADP analyticsexhaust management, and other modules and services that may monitor andcontrol data protection operations that may be monitored by the ADPaccelerator server computing device 106 for the system 100. The ADP OSmay provide environmental monitoring including the measuring oftemperature, power, and other variables associated with the system 100and its associated network, cloud computing system, and other computingsystems and environments.

The ADP OS may provide ADP data acquisition tools (ADP DATs). The ADPDATs may manage, monitor, and control a variety of data protection,cloud computing, storage, and network products and services. ADP DATsmay include a data protection acquisition tool (DPAT), cloud acquisitiontool (CAT), storage acquisition tool (SAT), and a network acquisitiontool (NAT).

Further, the ADP OS may include and manage backup server toolingsoftware. This may include a set of backup server tooling softwareproducts (e.g., IBM SPECTRUM PROTECT™, VERITAS NETBACKUP™, VEEAM, etc.),cloud backup services, server or storage snapshot utilities, applicationbackup tools, or other backup or replication utilities that may executemany backup, restore, and long-term data retention operations on data inthe system 100 and its associated network, cloud computing system, andother computing systems and environments. In addition to backup servertooling software, the ADP OS also may include and manage operatingsystem software associated with computing devices in the system 100,file systems associated computing devices of the system 100, and othersoftware resources associated with the system 100.

In short, the ADP OS may interact with the ADP analytics servercomputing device 104 to manage and automate data protection operationsof the system 100.

Storage of the system 100 may include backups of system user data thatmay be stored where the user desires, e.g., on local storage computingdevices and on cloud storage, among other locations. Storage may bephysically included in the ADP accelerator server computing device 106and/or may be separate such as external storage arrays and/or stored oncloud-based storage. However, the storage may appear to a user as beinglogically attached to the ADP accelerator server computing device 106and may be used by ADP accelerator server computing device services.

According to an example embodiment, the ADP accelerator server computingdevice 106 may be deployed on client premises, in a data center, in aremote office, in a private cloud computing environment, in a publiccloud computing environment, and in a third-party hosting/data center,among other locations. The ADP accelerator server computing device 106may be deployed as a virtual appliance in a virtual environment (e.g.,VMWARE® Cloud), as a physical appliance, or in a public cloud computingenvironment (on virtual, bare metal, or hosted systems). In order toprovide greater degrees of data security and availability, the ADPaccelerator server computing device 106 may be configured to createadditional copies of data via services such as data replication and datacopies to various media types or storage classes.

The ADP accelerator server computing device 106 may have associated dataprotection hardware and software infrastructure that may include thecompute resources discussed above, the storage discussed above, networkcomponents, traffic patterns, firmware levels, microcode, dataprotection software tooling, cloud functionality, and others. Inaddition, the ADP accelerator server computing device 106 may be incommunication via the communications network 108 with additional dataprotection infrastructure including other protected servers, storagedevices, applications, data, backup servers, networks, deduplicationappliances, cloud workloads, and others.

In one embodiment, the ADP accelerator server computing device 106 maybe considered an ADP conduit. An ADP conduit may provide industryservices such as ticketing, orchestration, service management, and othersolutions. An ADP conduit may be deployed to implement special securityaccess controls that may be requested for various customer environments.

The ADP accelerator server computing device 106 may operate autonomouslyfrom the ADP analytics server computing device 104 but also may beintegrated with the ADP analytics server computing device 104. The ADPaccelerator server computing device 106 may share metadata exhaust datawith the ADP analytics server computing device 104 and may in returnreceive analytics-derived guidance in order to optimize data protectionoperations for the system 100. In addition, operating system software,ADP OS software, backup server tooling software, devicefirmware/microcode, and other software may be transmitted from the ADPanalytics server computing device 104 to the ADP accelerator servercomputing device 106.

The system 100 may include adaptive data protection interfaces includinga graphical user interface (GUI) and a RESTful API as discussed above.The system 100 provides ADP Commander, a GUI that comprises a dashboardportal that graphically provides information regarding the system 100.The ADP Commander may be presented from the perspective, view, andauthentication permissions of each user of the system 100. In addition,an administrator of the system 100 may access the portal to view thestatus for each user/partner associated with the system 100. Theadministrator may resolve issues, execute ADP accelerator servercomputing device 106 deployments, and may view analytics regarding thesystem 100 or individual customer domains. Services and solutions of theanalytics-based cloud brokering system 100 may be shared amongst, anddelivered through, multiple partners (e.g., separate companies andorganizations and sub-organizations of companies) to multiple sets ofclients and customers. A partner of the system 100 may view a particularportion of the system environment from the perspective, view, andauthentication permissions of the partner. A partner may view partnercustomer environments. End users of the system 100 may view a portion ofthe system 100 from the perspective, view, and authenticationpermissions of the user. A customer may view ADP accelerator servercomputing device information and computing devices that may beassociated with the ADP accelerator server computing device 106.

The ADP Commander user interface may provide complete multi-tenancyfunctions/features at different levels (e.g., partners, users) and mayprovide comprehensive reporting, monitoring, control, security,chargeback, showback, provisioning of client computing devices, policymanagement, capacity management, management of system inventories, andothers at all levels.

In addition, the RESTful API provides ADP functionality and all ADPfunctions may be accessed and managed using the RESTful API.

The ADP analytics server computing device 104 may have an ADP analyticsdirector application 110A and the ADP accelerator server computingdevice 106 may have an ADP analytics manager application 110B thatcommunicates with storage that may include at least one database thatcomprises a non-relational database and/or a relational database forstoring condition information, cloud computing resource information, andcloud computing operation information among other data. As an example,the information may be stored in a relational database management system(RDBMS), an open source distributed database management system such as aNot only SQL (NoSQL) database management system, an in-memory database(IMDB) management system, or another appropriate database managementsystem.

The client computing device 102 may include a display and an inputdevice. The display is used to display visual components of the ADPanalytics director application 110A, such as at a user interface, e.g.,ADP Commander. In one example, the user interface may display a userinterface of the ADP analytics director application 110A, and arepresentation of the requested resources received from the ADPanalytics server computing device 104. The display can include acathode-ray tube display, a liquid-crystal display, a light-emittingdiode display, a touch screen display, and/or other displays. The inputdevice is used to interact with the ADP analytics director application110A or otherwise provide inputs to the client computing device 102 andmay include a mouse, a keyboard, a trackpad, and/or the like. The inputdevice may be included within the display if the display is a touchscreen display. The input device allows a user of the client computingdevice 102 to manipulate the user interface of the ADP analyticsdirector application 110A or otherwise provide inputs to be transmittedto the ADP analytics server computing device 104.

The at least one ADP analytics server computing device 104 is configuredto receive data from and/or transmit data to the at least one clientcomputing device 102 through the communications network 108. Althoughthe at least one ADP analytics server computing device 104 is shown as asingle server, it is contemplated that the at least one server computingdevice 104 may include multiple servers, for example, in a cloudcomputing configuration.

The one or more computing devices communicate and coordinate theiractions by passing messages over the communications network 108. Thecommunications network 108 can be one or more of the Internet, anintranet, a cellular communications network, a WiFi network, a packetnetwork, or another wired and/or wireless communication network or acombination of any of the foregoing. As an example, the one or morecomputing devices communicate data in packets, messages, or othercommunications using a common protocol, e.g., Hypertext TransferProtocol (HTTP) and/or Hypertext Transfer Protocol Secure (HTTPS). As anexample, the analytics-based cloud brokering system 100 may be acloud-based computer system or a distributed computer system that mayinclude one or more cloud-based computer systems including AMAZON WEBSERVICES, VMWARE CLOUD, MICROSOFT AZURE, IBM CLOUD, GOOGLE CLOUDPLATFORM, ALIBABA CLOUD, and other cloud computing services.

The ADP analytics director application 110A may be a component of anapplication and/or service executable by the client computing device 102and/or the ADP analytics server computing device 104 and/or the ADPaccelerator server computing device 106. For example, the ADP analyticsdirector application 110A may be a single unit of deployable executablecode or a plurality of units of deployable executable code. According toone aspect, the ADP analytics director application 110A may be a webapplication, a native application, and/or a mobile application (e.g., anapp) downloaded from a digital distribution application platform thatallows users to browse and download applications developed with mobilesoftware development kits (SDKs) including the App Store and GOOGLEPLAY®, among others. The ADP analytics director application 110A may beinstalled on the client computing device 102, which may have a WINDOWSoperating system, APPLE MACOS operating system, a Linux operatingsystem, the iOS operating system or an ANDROID™ operating system, amongother operating systems. In an exemplary embodiment, the ADP analyticsdirector application 110A may include a first client component executedby the client computing device 102 and a second server componentexecuted by the at least one ADP analytics server computing device 104and/or the ADP accelerator server computing device 106.

The system 100 provides monitoring and data collection. Optimization ofdata protection infrastructure and operations begins with comprehensiveand ongoing discovery, data collection, and monitoring of all aspects ofthe data protection environment. The ADP DATs may perform ongoinghealth, capacity, and performance monitoring and data collection of alldata protection, cloud, storage, and network products and services. Themonitoring and data collection may include the gathering of capacity andperformance metrics (e.g., utilization rates, storage capacities, datathroughput rates, I/O rates, etc.) and current health status (e.g.,offline, online, in-progress, failed, failing, etc.) of all componentsand aspects of the data protection environment. A variety of eventswithin the environment (e.g., a failed storage or network device, afire, a security breach, a backup job completion, a database failure, apower outage, a business audit, etc.) and events outside of butassociated with the environment (e.g., weather events, governmentalerts, etc.) may also be monitored and assessed. Conditions of thecomponents, operations, and entire data protection environment mayinclude an assessment of events, metrics, and current health status ofall components and aspects of the data protection environment. Forexample, storage utilization, data throughput rates, and other metricsbeing within acceptable ranges assessed along with a health status ofall devices being online may constitute a normal operating condition fora storage array. As a further example, metrics on a data protectionoperation (e.g., number of backups running, number of failed backups,amount of data and files backed up daily per client computing device,deduplication rates, etc.) may be assessed as normal operatingconditions for data protection operations. As another example, adramatic increase in metrics such as amounts of data and files backed updaily for multiple users combined with a dramatic decrease in datadeduplication rate metrics may change a security condition code toindicate a ransomware attack is underway.

In another example, deviations in normal operating behavior of backupserver tooling software (e.g., increased numbers of backup failures,backup server warnings or failures, or backup client warnings orfailures) may be detected by the ADP analytics server computing device104, which may request additional information such as client and servererror logs, backup server data logs, and other information to begathered by the DPAT. This additional information may be available fordeeper analysis of operations by the ADP analytics server computingdevice 104.

Cryptovirology or ransomware attacks may leverage cryptography toencrypt data to make it inaccessible without special keys from anattacker. The malicious data encryption may result in dramatic changesin backup deduplication rates, backup data traffic, daily backup changerates, a number of files backed up daily per client computing device,and other operational metrics. The ADP analytics server computing device104 may detect such changes that may indicate a ransomware attack. Inaddition, business security alert systems, the United States ComputerEmergency Readiness Team (US-CERT), or other ransomware attack monitorsmay issue security alerts or set security alert levels to indicate thata ransomware attack has occurred. The ADP analytics server computingdevice 104 may detect the ransomware alerts and indicators. When the ADPanalytics server computing device 104 detects a ransomware attack, itmay take automated actions to avert, minimize, and remediate associateddamage.

In one example, the ADP analytics server computing device 104 mayanalyze all metrics to determine which systems, devices, directories,files, databases, or other data have possibly been infected. Auditreports may be sent automatically to authorized data administrators,business executives, users, and other authorized individuals. Inaddition, the ADP analytics server computing device 104 may restrict orremove access to infected data and systems and potentially other dataand systems. This may isolate the ransomware threat.

In addition, when ransomware is detected, the ADP analytics servercomputing device 104 may determine affected data, initiate recovery ofaffected data from the backup server tooling software to an originallocation or to a safe location, and/or initiate data replication orincrease the frequency of data replication of the latest backup versionsof all affected data from the backup server tooling software to anoff-site location to preserve the most current copies of affected dataoff-site and protect the data using airgap storage. This may allowcritical business data to be automatically removed from the site of thesecurity attack before information officers are even aware of theattack.

The ADP analytics server computing device 104 may optimize dataprotection infrastructure and operations using automated best practices.As an example, disk errors, failures, or warnings may be provided by astorage device and sent to the ADP analytics server computing device104. In this case, the ADP analytics server computing device 104 maytake automated actions based on best practices. As an example, the ADPanalytics server computing device 104 may automatically extend retentionperiods for associated backup data and/or storage devices storing theassociated backup data that may be suffering from the disk errors,storage device failures, or backup failures. As an example, the ADPanalytics server computing device 104 may perform at least one ofidentifying data that might be affected by one of a warning and an erroron a storage device, extending retention periods for backup data andbackup media associated with the data that might be affected by the oneof the warning and the error on the storage device, initiating backup ofthe data that might be affected by the one of the warning and the erroron the storage device, and validating integrity of the data that mightbe affected by the one of the warning and the error on the storagedevice, among other operations.

The system 100 may utilize advanced monitoring of target storagerepositories, analyze various conditions and events in the environment,and dynamically select target storage repositories, such as a cloudstorage device for backup data based on current conditions. In oneexample, the ADP accelerator server computing device 106 may detect atarget storage repository that may be experiencing high spaceutilization or may be experiencing errors on one or more of its devicesand may instruct the backup server tooling software to bypass the targetstorage repository and use another target storage repository for aspecific backup data operation. In another example, the ADP analyticsserver computing device 104 may detect that there is a high securityalert condition in the environment, or may detect that there is anissued US-CERT alert event, or may detect that there is a currentransomware attack event, or may detect that there is severe weather,flood, or fire event in the locality of the target storage repository,or may detect some other condition or event requiring different targetstorage repository selection. The ADP accelerator server computingdevice 106 may instruct the backup server tooling software to directbackup data for current backup data operations to move to an offsiterepository or a cloud target storage repository.

Additionally, if one of various events or conditions occurs in theenvironment, the ADP analytics server computing device 104 mayautomatically perform data health remediation actions to optimize dataprotection operations and data custody discipline. The ADP analyticsserver computing device 104 may automatically initiate one or moreservice calls as needed for devices or components that may have failedor may be in the process of failing.

When the ADP analytics server computing device 104 detects certainwarnings or failures or device errors on a primary storage array, theADP analytics server computing device 104 may perform automated steps toremediate the health of associated data and maintain data custodydiscipline. The ADP analytics server computing device 104 may determinethe systems, databases, file systems, and applications that may haveassociated data on the failing array. The ADP analytics server computingdevice 104 may inform the backup server tooling software to initiateautomated, out-of-schedule backups or make replicated off-site copies ofthe data associated with the systems, databases, file systems, andapplications. This may allow the system to obtain the very latestversions of data and any data that may be exposed to potential loss maybe automatically ingested by the system 100.

In another example, if ransomware is detected that affects data, the ADPanalytics server computing device 104 may instruct the backup servertooling software to initiate data replication of the latest backupversions of all affected data from the backup server tooling software toan off-site location. In addition, the ADP analytics server computingdevice 104 may initiate recovery and validation of all affected data toa safe location. In addition, the ADP analytics server computing device104 may perform various data health validation operations when backupfailures are detected. The backup failures may be associated with otherassociated conditions or events (e.g., device errors on the systemsexperiencing backup failures). In another example, the ADP analyticsserver computing device 104 may initiate restoration and validation ofportions of data from previous backups that may be failing.

In addition, the system 100 may optimize data protection operationsequencing based on data custody discipline using a data custody policy.The data custody policy may include specification of General DataProtection Regulation (GDPR) data custody level (e.g., data controller,data processor) and other governing compliance requirements, businesspriority of data, data retention requirements, data securityrequirements (e.g., encryption levels, who has access to data), dataresiliency requirements (e.g., data may have a replicated off-sitelocation or a copy in another cloud region different from a currentlocation), data locality specifications (e.g., where data may reside ornot reside), a level of allowed network throughput, and other datacustody disciplines. The ADP analytics server computing device 104 mayuse the data custody policy, data service level policy, business projectpriorities, and other input to prioritize automated data protectionoperations. In one example, if a backup fails, it may only bereinitiated based on the data custody policy. A backup retry, a datareplication, or an automated data validation of a backup may be allowedbased on the data custody policy.

In another example, daily backup processing and daily replicationoperations may be prioritized based on the data custody policy, a dataservice level policy, business project priorities, or others. As aresult, the data backup or data replication operations may be tieredbased on data priority.

FIG. 2 illustrates a block diagram of the ADP analytics server computingdevice 104 according to an example embodiment. The ADP analytics servercomputing device 104 may be a computer having a processor 202 andmemory, such as a laptop, desktop, tablet computer, mobile computingdevice (e.g., a smartphone), or a dedicated electronic device having aprocessor and memory. The one or more processors 202 processmachine/computer-readable executable instructions and data, and thememory stores machine/computer-readable executable instructions and dataincluding one or more applications, including the ADP analytics directorapplication 110A. The processor 202 and memory are hardware. The memoryincludes random access memory (RAM) and non-transitory memory, e.g., anon-transitory computer-readable storage medium such as one or moreflash storages or hard drives. The non-transitory memory may include anytangible computer-readable medium including, for example, magneticand/or optical disks, flash drives, and the like. Additionally, thememory may also include a dedicated file server having one or morededicated processors, random access memory (RAM), a Redundant Array ofInexpensive/Independent Disks (RAID) hard drive configuration, and anEthernet interface or other communication interface, among othercomponents.

The ADP analytics server computing device 104 uses the ADP analyticsdirector application 110A to transmit data, messages, and/or resourcesto the one or more client computing devices 102 and receive messages,data, and/or resources from the one or more client computing devices102.

In order to obtain access to protected resources associated with the ADPanalytics server computing device 104, e.g., data stored on protectedcomputing devices or resources stored in the storage of the ADPaccelerator server computing device 106, the client computing device 102optionally may transmit a request or other communication, such as with arepresentation of a username and a password, to the ADP analytics servercomputing device 104 using lightweight directory access protocol (LDAP),HTTP, hypertext transport protocol secure (HTTPS) and/or otherprotocols. The request may be a LDAP request, a representational statetransfer (REST) request, a Simple Object Access Protocol (SOAP) request,or another type of request. The ADP analytics server computing device104 optionally verifies the username and password and transmits aresponse or other communication to the client computing device 102 orotherwise grants access to the client computing device to create andview data. The ADP analytics server computing device 104 may transmit anHTTP response, an HTTPS response, a LDAP response, a REST response, aSOAP response, and/or another type of response.

The username and password may be encrypted by the client computingdevice 102 using transport layer security (TLS), secure sockets layer(SSL), and/or other encryption protocols. The username and password maybe encrypted using a cryptographic hash function (e.g., SHA-1, MD5, andothers) to determine a hash-based message authentication code (HMAC)(hash-based message authentication code). In one example,“username.password” is encrypted using the cryptographic hash function.This cryptographic hash function allows the username and password to beverified and authenticated by the ADP analytics server computing device104 without directly sending the username and password to the ADPanalytics server computing device 104 via the communications network108.

The ADP analytics server computing device 104 includes computer readablemedia (CRM) 204 in memory on which the ADP analytics directorapplication 110A or other user interface or application is stored. Thecomputer readable media may include volatile media, nonvolatile media,removable media, non-removable media, and/or another available mediumthat can be accessed by the processor 202. By way of example and notlimitation, the computer readable media comprises computer storage mediaand communication media. Computer storage media includes non-transitorystorage memory, volatile media, nonvolatile media, removable media,and/or non-removable media implemented in a method or technology forstorage of information, such as computer/machine-readable/executableinstructions, data structures, program modules, or other data.Communication media may embody computer/machine-readable/executableinstructions, data structures, program modules, or other data andinclude an information delivery media or system, both of which arehardware.

The ADP analytics director application 110A includes the followingmodules. The modules may include sub-modules that may be associated withthe ADP accelerator server computing device 106 and thus portions of theADP analytics director application 110A may be executed by the ADPaccelerator server computing device 106. The ADP analytics directorapplication 110A may include a monitoring director module 206, ananalysis director module 208, a modification director module 210, anotification director module 212, and a user interface module 214, amongothers.

The monitoring director module 206 may continually monitor and analyzeat least one of metrics and conditions in the system 100. Metrics foreach cloud resource may be monitored and tracked in particular timeintervals (e.g., by hour, by day, by week, by month, by a differentparticular interval of time). Cloud computing resource metrics that maybe monitored and tracked may include usage, availability, performance,data ingress, data egress, cloud resource health indicators, and currentfinancial costs for use of a cloud resource, among others. Usage may berelated to an amount of time a cloud computing resource may be usedduring a particular time interval. Availability may be related to anamount or percentage of time the cloud computing resource was availableduring the time interval. Performance may be related to input/outputoperations per second (TOPS) achieved when writing and/or reading to thecloud computing resource during the particular time interval. Dataingress may be related to an amount of data written to the cloudcomputing resource during the particular time interval. Data egress maybe related to an amount of data read from the cloud computing resourceduring the particular time interval. Cloud resource health indicatorsmay include information associated with severe weather warnings,cyber-attack alerts, cloud resource provider notifications, and others.The time intervals used for tracking metrics may be associated with timeintervals used by cloud resource providers, e.g., a monthly payment orbilling cycle for cloud resource provider A.

In addition, each cloud resource provider may have an associated cloudpolicy. The cloud policy may be maintained by the system 100 and may beused to specify cloud features and functions (e.g., cloud resources)that may be permitted for use by a user or business for data protection,disaster recovery, or other computing operations. The cloud policy mayinclude a cloud resource provider name, a list of cloud computingresources available for the cloud resource provider, a list of names anddescriptions for each cloud computing resources available for the cloudresource provider, an indication of whether each cloud computingresource is applicable for use by users, applications, or computingoperations, total aggregate metrics for each cloud computing resourcebased on historical usage for computing operations including a totalamount of time a cloud resource has been used, ongoing total aggregatepercentage of time the cloud computing resource has been available, atotal aggregate indication of performance for the cloud computingresource over a particular time (e.g., an average number of IOPSachieved writing to or reading from the cloud computing resource), atotal aggregate amount of data ingress or data egress associated withthe cloud computing resource, cloud resource health indicators, cloudservice contract information, and financial information and costsassociated with usage of the cloud computing resource, among others.

Cloud resource metrics may be continually monitored for a condition thatmay trigger modification to a cloud computing resource implementation, acloud computing operation, or a cloud resource authentication request. Acondition may be a change in at least one of usage, availability,performance, capacity, health, financial costs, a cloud servicecontract, a security alert level, and environmental metrics associatedwith at least one cloud computing resource.

The analysis director module 208 of the ADP analytics server computingdevice 104 may determine that a condition associated with a cloudcomputing resource has occurred and may analyze at least one of thecondition, a cloud computing operation, and at least one available cloudcomputing resource and determine if steps may be taken to remediate thecondition. As an example, a cloud policy for a cloud computing resourcemay be modified and changed for the cloud computing operation using themodification director module 210 responsive to the condition. Thismodification and change to the cloud policy for the cloud computingresource may specify whether a user or business is permitted to use thecloud computing resource for a data protection operation, disasterrecovery operation, or other computing operation. Total aggregate usagemetrics for a cloud computing resource may be continually monitored. Acondition may occur for a particular user, application, or cloudcomputing operation. As an example, a cloud computing resource mayexceed a particular threshold set by a user or by a cloud resourceprovider imposed limit on usage for the particular cloud computingresource within a particular time period. When the condition is detectedand verified, the modification director module 210 may dynamicallyadjust an associated cloud policy to decline cloud resourceauthentication requests for the cloud computing resource, application,or computing operations until a next time period, e.g., next month. At abeginning of each time period for each cloud computing resource (e.g., amonth), a cloud policy may be modified to permit cloud computingresource authentication requests for the cloud computing resource.

In another example, current financial costs for use of a cloud computingresource may be continually monitored based on data available from cloudcomputing providers and contract renewal notifications, among othersources. If a cloud computing service provider increases a financialcost for a cloud computing resource, this may trigger a condition. Whenthe condition is detected, the modification director module 210 maydynamically adjust a cloud policy to decline cloud computing resourceauthentication requests for the cloud computing resource from users,applications, and cloud computing operations. When a condition occursthat may modify a cloud policy to change whether a cloud computingresource may be used, it may trigger a modification to a cloud computingresource implementation, a cloud computing operation, or a cloudcomputing resource authentication request.

As an example, if a compute resource or a storage resource is declineduse by a cloud policy, the modification director module 210 maydynamically modify a cloud computing resource implementation to insteadleverage and use another compute or storage cloud computing resource inanother region, with another cloud computing service provider, or aprivate on-premise computing resource. As another example, if a cloudcomputing resource may not be suitable for use based on a cloud policy,the modification director module 210 may dynamically modify a dataprotection operation or another cloud computing operation to utilizeanother cloud computing resource provided by another cloud computingservice provider or a private on-premise computing resource such as aprivate cloud computing resource. In addition, if the use of the cloudcomputing resource is no longer allowed by the cloud policy, themodification director module 210 may decline a specific cloud resourceauthentication request from a user, an application, a cloud computingoperation, or another entity.

In a further example, the modification director module 210 may determinethat a condition associated with the cloud computing resource hasoccurred and may initiate a cloud computing operation to remediate thecondition associated with the cloud computing resource.

As another example, a condition may occur based on a change in anavailability metric associated with at least one cloud computingresource. The availability of the cloud computing resource may havefallen below an acceptable threshold. As another example, anenvironmental metric associated with a cloud computing resource may havechanged that indicates that the cloud computing resource is unavailablefor a particular time period. As an example, a notification from a cloudcomputing provider may indicate that there is a period of time that thecloud computing resource will be unavailable due to maintenance. Asanother example, a cloud resource health indicator may change. The cloudcomputing resources in a particular geographic region may be exposed toan outage due to severe weather and/or utility interruptions. The regionmay have suffered severe weather and this may be detected based onsevere weather warning notifications or other alerts. As anotherexample, a condition may occur based on indications that the cloudcomputing resource may be subject to a cyber-attack as indicated by acloud computing provider notification or by a change in a security alertmonitor. The conditions associated with the at least one cloud computingresource may be detected by the analysis director module 208, which mayinitiate a cloud computing operation to remediate the conditionassociated with the at least one cloud computing resource. The analysisdirector module 208 may detect at least one condition and themodification director module 210 may initiate an immediate backup,replication, migration, or other cloud computing operation of any dataassociated with the at least one cloud computing resource to anothercloud computing resource in a private on-premise location, another cloudcomputing region associated with the cloud computing resource, or acloud computing resource provided by a different cloud computingprovider. In other words, the cloud computing operation may beautomatically initiated to remediate the condition associated with theat least one cloud computing resource.

The analysis director module 208 may determine that a condition or anoperational condition associated with a cloud computing resource hasoccurred and may trigger a modification to a cloud computing operationby the modification director module 210. A condition may be, forexample, a change in a performance metric associated with at least onecloud computing resource that indicates that the at least one cloudcomputing resource is not able to provide performance that meets aparticular threshold to service a cloud computing operation. As notedabove, an operational condition may be a change in a data service levelthat indicates that a cloud computing operation is to be performedfaster.

As another example, an operational condition may be a change in anoperation execution time for an operation that utilizes a cloudcomputing resource. The operation may have to be optimized. As anotherexample, the operational condition may be a change in a data custodyrequirement that is associated with storing an additional copy of dataassociated with a cloud computing operation in a certain locality. Theanalysis director module 208 may detect that one of these conditionsoccurs and may analyze how to remediate the condition, may analyze howto optimize a cloud computing operation, and may split the cloudcomputing operation into one or more portions or subsets. As an example,the modification director module 210 may divide the cloud computingoperation amongst one or more cloud computing resources including adifferent cloud computing resource in a same cloud computing region, acloud computing resource in another cloud computing region, a cloudcomputing resource from private on-premise cloud computing resources, ora cloud computing resource provided by another cloud computing provider.

The notification director module 212 may send a notification, message,and/or alert to a computing device such as the client computing device102. The notification may include information associated with thecondition and a modification made to the cloud computing resourceimplementation, a cloud computing operation, or a cloud computingresource operation request.

The ADP analytics director application 110A includes a user interfacemodule 214. The user interface module 214 receives requests or othercommunications from the client computing devices 102 and transmits arepresentation of requested information, user interface elements, andother data and communications to the client computing device 102 fordisplay. As an example, the user interface module 214 generates a nativeand/or web-based graphical user interface (GUI) that accepts input andprovides output by generating content that is transmitted via thecommunications network 108 and viewed by a user of the client computingdevice 102. The GUI may be the ADP Commander discussed herein. The userinterface module 214 may provide realtime, automatically, anddynamically refreshed information to the user of the client computingdevice 102 using Java, Javascript, AJAX (Asynchronous Javascript andXML), ASP.NET, Microsoft .NET, and/or node.js, among others. The userinterface module 214 may send data to other modules of the ADP analyticsdirector application 110A of the ADP analytics server computing device104 and retrieve data from other modules of the ADP analytics directorapplication 110A of the ADP analytics server computing device 104asynchronously without interfering with the display and behavior of theADP analytics director application 110A displayed by the clientcomputing device 102. As an example, data may be retrieved usingXMLHttpRequest objects or using WebSockets.

FIG. 3 illustrates a block diagram of the ADP accelerator servercomputing device 106 according to an example embodiment. The ADPaccelerator server computing device 106 may be a computer having aprocessor 302 and memory, such as a laptop, desktop, tablet computer,mobile computing device (e.g., a smartphone), or a dedicated electronicdevice having a processor and memory. The one or more processors 302process machine/computer-readable executable instructions and data, andthe memory stores machine/computer-readable executable instructions anddata including one or more applications, including the ADP analyticsmanager application 110B. The processor 302 and memory are hardware. Thememory includes random access memory (RAM) and non-transitory memory,e.g., a non-transitory computer-readable storage medium such as one ormore flash storages or hard drives. The non-transitory memory mayinclude any tangible computer-readable medium including, for example,magnetic and/or optical disks, flash drives, and the like. Additionally,the memory may also include a dedicated file server having one or morededicated processors, random access memory (RAM), a Redundant Array ofInexpensive/Independent Disks (RAID) hard drive configuration, and anEthernet interface or other communication interface, among othercomponents.

The ADP accelerator server computing device 106 includes computerreadable media (CRM) 304 in memory on which the ADP analytics managerapplication 110B or other user interface or application is stored. Thecomputer readable media may include volatile media, nonvolatile media,removable media, non-removable media, and/or another available mediumthat can be accessed by the processor 302. By way of example and notlimitation, the computer readable media comprises computer storage mediaand communication media. Computer storage media includes non-transitorystorage memory, volatile media, nonvolatile media, removable media,and/or non-removable media implemented in a method or technology forstorage of information, such as computer/machine-readable/executableinstructions, data structures, program modules, or other data.Communication media may embody computer/machine-readable/executableinstructions, data structures, program modules, or other data andinclude an information delivery media or system, both of which arehardware.

The ADP analytics manager application 110B may include a monitoringmanager module 306, an analysis manager module 308, a modificationmanager module 310, and a notification manager module 312. Themonitoring manager module 306 may work in conjunction with themonitoring director module 206 as discussed above. The analysis managermodule 308 may work in conjunction with the analysis director module 208as discussed above. The modification manager module 310 may work inconjunction with the modification director module 210 discussed above.The notification manager module 312 may work in conjunction with thenotification director module 212 discussed above.

As an example, the monitoring manager module 306 may send informationassociated with one or more cloud computing resources connected to andin communication with the ADP accelerator server computing device 106 tothe monitoring director module 206. This information may includemonitoring information associated with the one or more cloud computingresources.

The analysis manager module 308 may send analysis information associatedwith the one or more cloud computing resources connected to and incommunication with the ADP accelerator server computing device 106 tothe analysis director module 208.

The modification manager 310 may work together with the modificationdirector 210 to make any changes and modifications to the one or morecloud computing resources and the one or more cloud computing operationsbased on the analysis information.

The notification manager module 312 may assist the notification directormodule 212 in sending notifications associated with the one or morecloud computing resources connected to and in communication with the ADPaccelerator server computing device 106 to the client computing device102.

FIG. 4 illustrates a flowchart of a process 400 for monitoring for acondition associated with a cloud computing resource according to anexample embodiment. In a first step 402, the monitoring director module206 of the ADP analytics server computing device 104 may continuallymonitor for a condition associated with a first cloud computing resourceperforming a cloud computing operation. The first cloud computingresource may be one of compute resources, network resources, storageresources, an operating system, application software, data ingressservices, and data egress services, among others. In addition, the cloudcomputing operation may be one of a data protection operation, a databackup operation, data replication, and backup of on-premise data, amongothers.

Next, in step 404, the monitoring director module 206 may determine thatthe condition associated with the first cloud computing resource hasoccurred. The condition may be associated with one of usage of the firstcloud computing resource during a particular period of time,availability of the first cloud computing resource during the particularperiod of time, performance of the first cloud computing resource duringthe particular period of time, data ingress for the first cloudcomputing resource during the particular period of time, data egress forthe first cloud computing resource during the particular period of time,a cyber-attack on the first cloud computing resource during theparticular period of time, cloud resource health indication informationfor the first cloud computing resource during the particular period oftime, and financial information for the first cloud computing resourceduring the particular period of time, among others. The condition may bedetermined to have occurred by comparing the first cloud computingresource with a cloud policy as discussed above.

In step 406, the analysis director module 208 of the ADP analyticsserver computing device 104 may analyze the condition associated withthe first cloud computing resource and compare the first cloud computingresource with a second cloud computing resource capable of performing atleast a subset of the cloud computing operation.

In step 408, the modification director module 210 of the ADP analyticsserver computing device 104 may automatically modify the cloud computingoperation that uses the first cloud computing resource to use the secondcloud computing resource. Additionally, the modification director module210 of the ADP analytics server computing device 104 may remediate thecondition and initiate at least one of an immediate backup of data,replication of data, and migration of data and grant permission for acloud resource authentication request for the second cloud computingresource. The second cloud computing resource may be one of anon-premise cloud computing resource and an off-premise cloud computingresource. Other options are possible. The second cloud computingresource may have at least one of a shorter operation execution time forthe cloud computing operation than the first cloud computing resource, afaster data operation transfer rate for the cloud computing operationthan the first cloud computing resource, a lower operation failure ratefor the cloud computing operation than the first cloud computingresource, and a lower financial cost for the cloud computing operationthan the first cloud computing resource, among other benefits andimprovements.

In step 410, the notification director module 212 of the ADP analyticsserver computing device 104 may send at least one notification to acomputing device such as the client computing device 102 about thecondition and information associated with a modification of the cloudcomputing operation from the first cloud computing resource to thesecond cloud computing resource.

FIG. 5 illustrates a flowchart of a process 500 for determining that acondition associated with a cloud computing resource has occurredaccording to an example embodiment. In a first step 502, the ADPanalytics server computing device 104 monitors cloud computing resourcesfor a condition comprising one or more of usage, availability,performance, capacity, health, financial cost, a cloud service contractissue, or an environment change associated with a cloud computingresource. Next, in step 504, the ADP analytics server computing device104 determines that a condition has occurred with a cloud computingresource. In 506, the ADP analytics server computing device 104 maymodify a cloud computing resource implementation responsive to thecondition. In 508, the ADP analytics server computing device 104 maymodify at least one cloud computing operation responsive to thecondition. In 510, the ADP analytics server computing device 104 maymodify at least one cloud resource authentication request responsive tothe condition.

FIG. 6 illustrates a flowchart of a process 600 for determining that acondition associated with a cloud computing resource has occurredaccording to an example embodiment. In a first step 602, the ADPanalytics server computing device 104 may monitor operational data andoperational behavior of at least one cloud computing operation thatutilizes a cloud computing resource for a condition including anoperational condition. The operational condition may be a change inoperational metadata or operational behavior of the cloud computingoperation that may trigger a modification to the cloud computingoperation. In a second step 604, the ADP analytics server computingdevice 104 may determine that an operational condition associated with acloud computing resource has occurred. In step 606, the ADP analyticsserver computing device 104 may modify at least one cloud computingoperation responsive to the operational condition.

FIG. 7 illustrates a flowchart of a process 700 for monitoring for acondition or operational condition associated with a cloud computingresource according to an example embodiment. In a first step 702, theADP analytics server computing device 104 may monitor for a condition oran operational condition associated with a cloud computing resource. Ina second step 704, the ADP analytics server computing device 104 maydetermine that the condition or the operational condition has occurred.In step 706, the ADP analytics server computing device 104 may analyzethe condition or the operational condition. In addition, the ADPanalytics server computing device 104 may analyze the cloud computingoperation and the cloud computing resource. The ADP analytics servercomputing device 104 may also analyze one or more available cloudcomputing resources that are capable of performing at least some of thecloud computing operation. The ADP analytics server computing device 104may determine or select at least one cloud computing resource to bestremediate or optimize the condition or operational condition for thecloud computing operation.

In step 708, the ADP analytics server computing device 104 may modify atleast one cloud computing resource implementation to select a bestmatched cloud computing resource responsive to the condition or theoperational condition. In step 710, the ADP analytics server computingdevice 104 may permit or decline a cloud resource authentication requestresponsive to the condition or operational condition. In step 712, theADP analytics server computing device 104 may modify at least one cloudcomputing operation to utilize a best matched cloud computing resourceresponsive to the condition or operational condition. In step 714, theADP analytics server computing device 104 may initiate at least onecloud computing operation responsive to the condition or operationalcondition. In step 716, the ADP analytics server computing device 104may modify at least one cloud computing operation by dividing orsplitting the at least one cloud computing operation into multiplecomponents, subsets, or units and assigning each of the components,subsets, or units to at least one particular substitute and best matchedcloud computing component. In step 718, the ADP analytics servercomputing device 104 may send at least one notification to a clientcomputing device, a user, or other recipient regarding the condition oroperational condition. The notification also may include informationrelated to modifications made to a cloud resource implementation, acloud computing operation, or a cloud resource authentication request.

FIG. 8 illustrates an example computing system 800 that may implementvarious systems, such as the client computing device 102, the ADPanalytics server computing device 104, the ADP accelerator servercomputing device 106, and the methods discussed herein, such as process400, process 500, process 600, and process 700. A general-purposecomputer system 800 is capable of executing a computer program productto execute a computer process. Data and program files may be input tothe computer system 800, which reads the files and executes the programstherein such as the ADP analytics director application 110A and the ADPanalytics manager application 110B. Some of the elements of ageneral-purpose computer system 800 are shown in FIG. 8 wherein aprocessor 802 is shown having an input/output (I/O) section 804, acentral processing unit (CPU) 806, and a memory section 808. There maybe one or more processors 802, such that the processor 802 of thecomputer system 800 comprises a single central-processing unit 806, or aplurality of processing units, commonly referred to as a parallelprocessing environment. The computer system 800 may be a conventionalcomputer, a server, a distributed computer, or any other type ofcomputer, such as one or more external computers made available via acloud computing architecture. The presently described technology isoptionally implemented in software devices loaded in memory 808, storedon a configured DVD/CD-ROM 810 or storage unit 812, and/or communicatedvia a wired or wireless network link 814, thereby transforming thecomputer system 800 in FIG. 8 to a special purpose machine forimplementing the described operations.

The memory section 808 may be volatile media, nonvolatile media,removable media, non-removable media, and/or other media or mediums thatcan be accessed by a general purpose or special purpose computingdevice. For example, the memory section 808 may include non-transitorycomputer storage media and communication media. Non-transitory computerstorage media further may include volatile, nonvolatile, removable,and/or non-removable media implemented in a method or technology for thestorage (and retrieval) of information, such ascomputer/machine-readable/executable instructions, data and datastructures, engines, program modules, and/or other data. Communicationmedia may, for example, embody computer/machine-readable/executable,data structures, program modules, algorithms, and/or other data. Thecommunication media may also include an information delivery technology.The communication media may include wired and/or wireless connectionsand technologies and be used to transmit and/or receive wired and/orwireless communications.

The I/O section 804 is connected to one or more user-interface devices(e.g., a keyboard 816 and a display unit 818), a disc storage unit 812,and a disc drive unit 820. Generally, the disc drive unit 820 is aDVD/CD-ROM drive unit capable of reading the DVD/CD-ROM medium 810,which typically contains programs and data 822. Computer programproducts containing mechanisms to effectuate the systems and methods inaccordance with the presently described technology may reside in thememory section 808, on a disc storage unit 812, on the DVD/CD-ROM medium810 of the computer system 800, or on external storage devices madeavailable via a cloud computing architecture with such computer programproducts, including one or more database management products, web serverproducts, application server products, and/or other additional softwarecomponents. Alternatively, a disc drive unit 820 may be replaced orsupplemented by a floppy drive unit, a tape drive unit, or other storagemedium drive unit. The network adapter 824 is capable of connecting thecomputer system 800 to a network via the network link 814, through whichthe computer system can receive instructions and data. Examples of suchsystems include personal computers, Intel or PowerPC-based computingsystems, AMD-based computing systems, ARM-based computing systems, andother systems running a WINDOWS-based, a UNIX-based, a LINUX-based, orother operating system. It should be understood that computing systemsmay also embody devices such as Personal Digital Assistants (PDAs),mobile phones, tablets or slates, multimedia consoles, gaming consoles,set top boxes, etc.

When used in a LAN-networking environment, the computer system 800 isconnected (by wired connection and/or wirelessly) to a local networkthrough the network interface or adapter 824, which is one type ofcommunications device. When used in a WAN-networking environment, thecomputer system 800 typically includes a modem, a network adapter, orany other type of communications device for establishing communicationsover the wide area network. In a networked environment, program modulesdepicted relative to the computer system 800 or portions thereof, may bestored in a remote memory storage device. It is appreciated that thenetwork connections shown are examples of communications devices for andother means of establishing a communications link between the computersmay be used.

In an example implementation, source code executed by the clientcomputing device 102, the ADP analytics server computing device 104, theADP accelerator server computing device 106, a plurality of internal andexternal databases, source databases, and/or cached data on servers arestored in the storage of ADP accelerator, memory of the client computingdevice 102, memory of the ADP analytics server computing device 104,memory of ADP accelerator server computing device 106, or other storagesystems, such as the disk storage unit 812 or the DVD/CD-ROM medium 810,and/or other external storage devices made available and accessible viaa network architecture. The source code executed by the client computingdevice 102, the ADP analytics server computing device 104, and the ADPaccelerator server computing device 106 may be embodied by instructionsstored on such storage systems and executed by the processor 802.

Some or all of the operations described herein may be performed by theprocessor 802, which is hardware. Further, local computing systems,remote data sources and/or services, and other associated logicrepresent firmware, hardware, and/or software configured to controloperations of the analytics based cloud brokering system 100 and/orother components. Such services may be implemented using ageneral-purpose computer and specialized software (such as a serverexecuting service software), a special purpose computing system andspecialized software (such as a mobile device or network applianceexecuting service software), or other computing configurations. Inaddition, one or more functionalities disclosed herein may be generatedby the processor 802 and a user may interact with a Graphical UserInterface (GUI) using one or more user-interface devices (e.g., thekeyboard 816, the display unit 818, and the user devices 804) with someof the data in use directly coming from online sources and data stores.The system set forth in FIG. 8 is but one possible example of a computersystem that may employ or be configured in accordance with aspects ofthe present disclosure.

In the present disclosure, the methods disclosed may be implemented assets of instructions or software readable by a device. Further, it isunderstood that the specific order or hierarchy of steps in the methodsdisclosed are instances of example approaches. Based upon designpreferences, it is understood that the specific order or hierarchy ofsteps in the method can be rearranged while remaining within thedisclosed subject matter. The accompanying method claims presentelements of the various steps in a sample order, and are not necessarilymeant to be limited to the specific order or hierarchy presented.

The described disclosure may be provided as a computer program product,or software, that may include a non-transitory machine-readable mediumhaving stored thereon executable instructions, which may be used toprogram a computer system (or other electronic devices) to perform aprocess according to the present disclosure. A non-transitorymachine-readable medium includes any mechanism for storing informationin a form (e.g., software, processing application) readable by a machine(e.g., a computer). The non-transitory machine-readable medium mayinclude, but is not limited to, magnetic storage medium (e.g., floppydiskette), optical storage medium (e.g., CD-ROM); magneto-opticalstorage medium, read only memory (ROM); random access memory (RAM);erasable programmable memory (e.g., EPROM and EEPROM); flash memory; orother types of medium suitable for storing electronic executableinstructions.

The description above includes example systems, methods, techniques,instruction sequences, and/or computer program products that embodytechniques of the present disclosure. However, it is understood that thedescribed disclosure may be practiced without these specific details.

It is believed that the present disclosure and many of its attendantadvantages will be understood by the foregoing description, and it willbe apparent that various changes may be made in the form, constructionand arrangement of the components without departing from the disclosedsubject matter or without sacrificing all of its material advantages.The form described is merely explanatory, and it is the intention of thefollowing claims to encompass and include such changes.

While the present disclosure has been described with reference tovarious embodiments, it will be understood that these embodiments areillustrative and that the scope of the disclosure is not limited tothem. Many variations, modifications, additions, and improvements arepossible. More generally, embodiments in accordance with the presentdisclosure have been described in the context of particularimplementations. Functionality may be separated or combined in blocksdifferently in various embodiments of the disclosure or described withdifferent terminology. These and other variations, modifications,additions, and improvements may fall within the scope of the disclosureas defined in the claims that follow.

What is claimed is:
 1. A system comprising: a memory; and at least oneprocessor to: monitor for a condition associated with a first cloudcomputing resource performing a cloud computing operation; determinethat the condition associated with the first cloud computing resourcehas occurred; analyze the condition associated with the first cloudcomputing resource and compare the first cloud computing resource with asecond cloud computing resource that is capable of performing at least asubset of the cloud computing operation; automatically modify the cloudcomputing operation that uses the first cloud computing resource to usethe second cloud computing resource; and send at least one notificationto a computing device about the condition associated with the firstcloud computing resource and information associated with a modificationof the cloud computing operation from the first cloud computing resourceto the second cloud computing resource.
 2. The system of claim 1,wherein the cloud computing operation comprises one of a data protectionoperation, a data backup operation, data replication, and backup ofon-premise data.
 3. The system of claim 1, wherein the first cloudcomputing resource comprises one of compute resources, networkresources, storage resources, an operating system, application software,data ingress services, and data egress services.
 4. The system of claim1, wherein the condition is associated with one of usage of the firstcloud computing resource during a particular period of time,availability of the first cloud computing resource during the particularperiod of time, performance of the first cloud computing resource duringthe particular period of time, data ingress for the first cloudcomputing resource during the particular period of time, data egress forthe first cloud computing resource during the particular period of time,a cyber-attack on the first cloud computing resource during theparticular period of time, cloud resource health indication informationfor the first cloud computing resource during the particular period oftime, and financial information for the first cloud computing resourceduring the particular period of time.
 5. The system of claim 1, the atleast one processor further to compare the first cloud computingresource with a cloud policy to determine that the condition hasoccurred.
 6. The system of claim 1, the at least one processor furtherto remediate the condition and initiate at least one of an immediatebackup of data, replication of data, migration of data, and grantingpermission for a cloud resource authentication request for the secondcloud computing resource.
 7. The system of claim 1, wherein the secondcloud computing resource comprises one of an on-premise cloud computingresource and an off-premise cloud computing resource.
 8. The system ofclaim 1, wherein the second cloud computing resource has at least one ofa shorter operation execution time for the cloud computing operationthan the first cloud computing resource, a faster data operationtransfer rate for the cloud computing operation than the first cloudcomputing resource, a lower operation failure rate for the cloudcomputing operation than the first cloud computing resource, and a lowerfinancial cost for the cloud computing operation than the first cloudcomputing resource.
 9. A method comprising: monitoring, by at least oneprocessor, for a condition associated with a first cloud computingresource performing a cloud computing operation; determining, by the atleast one processor, that the condition associated with the first cloudcomputing resource has occurred; analyzing, by the at least oneprocessor, the condition associated with the first cloud computingresource and comparing the first cloud computing resource with a secondcloud computing resource that is capable of performing at least a subsetof the cloud computing operation; automatically modifying, by the atleast one processor, the cloud computing operation that uses the firstcloud computing resource to use the second cloud computing resource; andsending, by the at least one processor, at least one notification to acomputing device about the condition associated with the first cloudcomputing resource and information associated with a modification of thecloud computing operation from the first cloud computing resource to thesecond cloud computing resource.
 10. The method of claim 9, wherein thecloud computing operation comprises one of a data protection operation,a data backup operation, data replication, and backup of on-premisedata.
 11. The method of claim 9, wherein the first cloud computingresource comprises one of compute resources, network resources, storageresources, an operating system, application software, data ingressservices, and data egress services.
 12. The method of claim 9, whereinthe condition is associated with one of usage of the first cloudcomputing resource during a particular period of time, availability ofthe first cloud computing resource during the particular period of time,performance of the first cloud computing resource during the particularperiod of time, data ingress for the first cloud computing resourceduring the particular period of time, data egress for the first cloudcomputing resource during the particular period of time, a cyber-attackon the first cloud computing resource during the particular period oftime, cloud resource health indication information for the first cloudcomputing resource during the particular period of time, and financialinformation for the first cloud computing resource during the particularperiod of time.
 13. The method of claim 9, further comprising comparingthe first cloud computing resource with a cloud policy to determine thatthe condition has occurred.
 14. The method of claim 9, furthercomprising remediating the condition and initiating at least one of animmediate backup of data, replication of data, migration of data, andgranting permission for a cloud resource authentication request for thesecond cloud computing resource.
 15. The method of claim 9, wherein thesecond cloud computing resource comprises one of an on-premise cloudcomputing resource and an off-premise cloud computing resource.
 16. Themethod of claim 9, wherein the second cloud computing resource has atleast one of a shorter operation execution time for the cloud computingoperation than the first cloud computing resource, a faster dataoperation transfer rate for the cloud computing operation than the firstcloud computing resource, a lower operation failure rate for the cloudcomputing operation than the first cloud computing resource, and a lowerfinancial cost for the cloud computing operation than the first cloudcomputing resource.
 17. A non-transitory computer-readable storagemedium, having instructions stored thereon that, when executed by acomputing device cause the computing device to perform operations, theoperations comprising: monitoring for a condition associated with afirst cloud computing resource performing a cloud computing operation;determining that the condition associated with the first cloud computingresource has occurred; analyzing the condition associated with the firstcloud computing resource and comparing the first cloud computingresource with a second cloud computing resource that is capable ofperforming at least a subset of the cloud computing operation;automatically modifying the cloud computing operation that uses thefirst cloud computing resource to use the second cloud computingresource; and sending at least one notification to a computing deviceabout the condition associated with the first cloud computing resourceand information associated with a modification of the cloud computingoperation from the first cloud computing resource to the second cloudcomputing resource.
 18. The non-transitory computer-readable storagemedium of claim 17, wherein the cloud computing operation comprises oneof a data protection operation, a data backup operation, datareplication, and backup of on-premise data.
 19. The non-transitorycomputer-readable storage medium of claim 17, wherein the first cloudcomputing resource comprises one of compute resources, networkresources, storage resources, an operating system, application software,data ingress services, and data egress services.
 20. The non-transitorycomputer-readable storage medium of claim 17, wherein the condition isassociated with one of usage of the first cloud computing resourceduring a particular period of time, availability of the first cloudcomputing resource during the particular period of time, performance ofthe first cloud computing resource during the particular period of time,data ingress for the first cloud computing resource during theparticular period of time, data egress for the first cloud computingresource during the particular period of time, a cyber-attack on thefirst cloud computing resource during the particular period of time,cloud resource health indication information for the first cloudcomputing resource during the particular period of time, and financialinformation for the first cloud computing resource during the particularperiod of time.
 21. The non-transitory computer-readable storage mediumof claim 17, the operations further comprising comparing the first cloudcomputing resource with a cloud policy to determine that the conditionhas occurred.
 22. The non-transitory computer-readable storage medium ofclaim 17, the operations further comprising remediating the conditionand initiating at least one of an immediate backup of data, replicationof data, migration of data, and granting permission for a cloud resourceauthentication request for the second cloud computing resource.
 23. Thenon-transitory computer-readable storage medium of claim 17, wherein thesecond cloud computing resource comprises one of an on-premise cloudcomputing resource and an off-premise cloud computing resource.
 24. Thenon-transitory computer-readable storage medium of claim 17, wherein thesecond cloud computing resource has at least one of a shorter operationexecution time for the cloud computing operation than the first cloudcomputing resource, a faster data operation transfer rate for the cloudcomputing operation than the first cloud computing resource, a loweroperation failure rate for the cloud computing operation than the firstcloud computing resource, and a lower financial cost for the cloudcomputing operation than the first cloud computing resource.